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Dataset Title:  Global Ocean - Coriolis Analysis - Near Real Time Subscribe RSS
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< - + >|
< <
depth (m) ?     specify just 1 value →
    |< -
< <
latitude (degrees_north) ?
< slider >
longitude (degrees_east) ?
< slider >
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
[The graph you specified. Please be patient.]


Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    Int32 _ChunkSizes 1;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.42128e+9, 1.6395264e+9;
    String axis "T";
    String calendar "standard";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  depth {
    Int32 _ChunkSizes 152;
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.0, 2000.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
    Float32 valid_max 12000.0;
    Float32 valid_min 0.0;
  latitude {
    Int32 _ChunkSizes 545;
    String _CoordinateAxisType "Lat";
    Float32 actual_range -77.01048, 89.89626;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  longitude {
    Int32 _ChunkSizes 720;
    String _CoordinateAxisType "Lon";
    Float32 actual_range -180.0, 179.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  PSAL {
    Int32 _ChunkSizes 1, 51, 182, 240;
    Float64 _FillValue NaN;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Practical salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSS-78";
    Float64 valid_max 60.0;
    Float64 valid_min 4.0;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String units "percent";
    String analysis_name "OA_NRTOAGL01";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creation_date "20220108T090338";
    String creator_name "IFREMER";
    String creator_type "institution";
    String creator_url "https://wwz.ifremer.fr/";
    String data_manager "Thierry.Carval@ifremer.fr";
    Float64 Easternmost_Easting 179.5;
    Float64 geospatial_lat_max 89.89626;
    Float64 geospatial_lat_min -77.01048;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.5;
    Float64 geospatial_lon_min -180.0;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"20220108T090338 : Creation
2022-01-18T23:55:28Z (local files)
2022-01-18T23:55:28Z http://www.ifremer.fr/griddap/CORIOLIS_GLOBAL_NRTOA_OBS_TIME_SERIE_PSAL.das";
    String infoUrl "https://wwz.ifremer.fr/";
    String institution "Ifremer";
    String keywords "analysis, data, depth, earth, Earth Science > Oceans > Ocean Salinity > Water Salinity, error, exploitation, francais, global, ifremer, in-situ, institut, latitude, longitude, mer, near, near real time, nrt, objective, observations, ocean, oceans, PCTVAR, percent, pour, PSAL, real, recherche, salinity, science, sea, sea_water_salinity, seawater, situ, time, variable, variance, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 89.89626;
    String project_name "Coriolis";
    String reference_date "1950-01-01T00:00:00Z";
    String references "Gaillard et al., JCLIM 2016, Doi:10.1175/JCLI-D-15-0028.1 ";
    String software_version "ISAS / POSTOA_main - 7.0";
    String source "ISAS-V7";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -77.01048;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String start_date "2021-12-15";
    String stop_date "2021-12-15";
    String summary "Global Ocean near real time in-situ observations objective analysis";
    String testOutOfDate "now-56days";
    String time_coverage_end "2021-12-15T00:00:00Z";
    String time_coverage_start "2015-01-15T00:00:00Z";
    String title "Global Ocean - Coriolis Analysis - Near Real Time";
    Float64 Westernmost_Easting -180.0;


Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

griddap request URLs must be in the form
For example,
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.

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